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Principal Engineer - Data Platform

Santa Clara, California, us🌐 Remote💼 Full-time🗓 2026-07-13 → 2026-07-30

Core

Architecting and migrating ServiceNow's Global Cloud Services data foundation from a legacy Cloudera stack to a modern lakehouse (Trino, Iceberg, dbt) while designing a portable architecture for commercial and regulated environments.

Role type

Principal Engineer - Data Platform Modernization

Builds

A modern lakehouse data warehouse serving as the substrate for Global Cloud Services data consumers, including the FinOps Engineering Platform, Forecast Engine, and FCR automation.

Domain

Cloud Data Engineering / FinOps / Enterprise Data Platform

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

Distributed query systems, Data lakehouse architecture, Data migration strategy, Streaming data pipelines, Data governance and security, Cloud infrastructure design, Technical leadership, System architecture, CI/CD and DevOps, Observability

Preferred skills

AI/ML tooling for data migration, Open-source contribution, Industry conference speaking

Technologies

Trino, Iceberg, dbt, Kafka, PostgreSQL, Kubernetes, AWS, GCP, Azure, Cloudera (legacy), Hive, Impala, Spark, Lightdash

Responsibilities

Design the target architecture for the GCS Data Warehouse and define the migration strategy to retire the Cloudera platform. Own the ingestion architecture including CDC from PostgreSQL and streaming layers. Establish data governance, security, and access control models for both commercial and regulated environments. Lead technical decision-making across workstreams including analytics, cloud development platform, and multi-cloud infrastructure. Drive the responsible use of AI/ML tooling to accelerate migration and validation. Represent ServiceNow at industry conferences and contribute to open-source projects.

Seniority

Principal, hands-on technical leadership

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